Android app that identifies and detects Pokemons in the provided Image using Tensorflow Lite and Firebase MLKit

📈ㅤ[ARTICLE] Firebase ML Kit 101 Series

This is a sample app built to demonstrate the use of MLKit Face detection. Dedicated to all Android Developers with heart.

🤖 A simple application using Google's MLkit library and cameraX api.

OCR app with entity extraction with mlkit and camerax

Price Tag Scanner app using MLKit and Jetpack Compose for Android

With Viola android face detection library, you can detect faces in a bitmap, crop faces using predefined algorithm and get additional information from the detected faces.

AR-based library for Android which is capable of detecting faces and overlaying images above the user’s head

This repository contains a collection of Android applications developed using Google ML Kit, demonstrating the power and versatility of machine learning features in mobile development. Each project is crafted using Java and Kotlin, showcasing various use cases and practical implementations.

Native android application that scans for text in images. Uses ML kit under the hood.

Various scanner use cases using Firebase or HMS ML-Kit

A multi-modular Android application implemented using Clean Architecture, MVVM pattern, Koin, Kotlin Coroutines, Retrofit2, Room etc.. to identify the institution that issued a payment card

I built this app using Mlkit along with the TensorFlow Lite model for object detection, Arcore is used to place anchors to the detected objects. It's a good blend of Machine learning and Augmented reality to visualise ML information in a much better way than regular bounding boxes

📦 A Google ML Kit frame processor plugin for react-native-vision-camera

An Android app that can recognize text from an image with the help of Machine Learning-Kit .

Barcode Reader + CameraX features - Android

It is Document scanner using MLKit Scanner API, Kotlin and Jetpack Compose.

Implementing various ML usecases in Jetpack Compose

Arcore ml kit integration without sceneform to detected multiple objects in a signle frame and place 3d labels on them

English-practice messenger. Kotlin, Kotlin Flows, Coroutines, Clean Architecture, MVVM, Dagger-Hilt, LiveData, Firebase, Picasso, Ml Kit.